Title
A meta-analysis study of the effect of chilling on prevalence of Salmonella spp. on pig carcasses
Date Issued
01 January 2008
Access level
metadata only access
Resource Type
conference paper
Author(s)
University College Dublin
Publisher(s)
EUROSIS
Abstract
Meta-analysis, a body of statistical techniques to systematically synthesise findings from individual studies in order to produce more precise estimates of the effects of particular interventions (treatments) and to obtain a better understanding of the factors originating differences among studies. Because of the systematic and methodical approach of meta-analysis (i.e., individual studies are weighed according to precision) and its reliance on actual data, the output distribution of the relative risk effect size merits consideration for inclusion in the chilling stage of quantitative risk assessments modelling the prevalence of this pathogen along the pork production chain. This is so that policy-makers and decision-makers can access reliable and concise information on effectiveness of interventions to control and prevent food borne illnesses in humans. The objective of this work was to demonstrate the applicability of a parametric approach of meta-analysis to the specific study of the effect of chilling during pork processing on Salmonella prevalence on pig carcasses. Two measures of effect size or parameterisations for binary outcomes (relative risk and risk difference) were utilised to perform separate meta-analyses. Both meta-analyses confirmed that the chilling operation has a significant beneficiai effect (P<0.001) for the reduction in Salmonella prevalence on pig carcasses.
Start page
71
End page
73
Language
English
OCDE Knowledge area
Agricultura, Silvicultura, Pesquería
Subjects
Scopus EID
2-s2.0-84898636905
Resource of which it is part
5th International Conference on Simulation and Modelling in the Food and Bio-Industry 2008, FOODSIM 2008
ISBN of the container
9789077381410
Conference
5th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2008
Sources of information:
Directorio de Producción Científica
Scopus